2-Sample Poisson Rate
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Stat > Basic Statistics > 2-Sample Poisson Rate

This procedure compares two samples from Poisson processes by performing hypothesis tests and calculating confidence intervals for the difference between the two populations'

·    occurrence rates

·    mean numbers of occurrences

A Poisson process describes the number of occurrences of an event in a given length of time, area, volume, etc.

For example,

·    The daily number of telephone calls to a customer service center

·    The number of flaws in a length of wire

Dialog box items

Both samples are in one column: Choose if you have entered raw data into a single column with a second column of sample IDs identifying the samples.

Samples: Enter the column containing the raw data.

Sample IDs: Enter the column containing the sample IDs.

Frequency column (optional): If your data consist of a single column of unique values and a separate column containing their corresponding frequencies, enter the frequency column.

Each sample is in its own column: Choose if you entered raw data into separate columns for each sample.

Sample 1: Enter the column containing the raw data for the first sample.

Sample 2: Enter the column containing the raw data for the second sample.

Frequency columns (optional): If you have one column of unique values and a separate column of their frequencies, enter the column containing the frequencies for each sample. The first entry must correspond to Sample 1, and the second value must correspond to Sample 2.

Summarized data: Choose if you have summary values for the sample size and total number of occurrences for both samples.

Sample 1:

Sample size: Enter the sample size of the first sample.

Total occurrences: Enter the total number of occurrences in the first sample.

Sample 2:

Sample size: Enter the sample size of the second sample

Total occurrences: Enter the total number of occurrences in the second sample.

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